Sat.May 21, 2022 - Fri.May 27, 2022

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Cloud Native Data Orchestration For Machine Learning And Data Engineering With Flyte

Data Engineering Podcast

Summary Machine learning has become a meaningful target for data applications, bringing with it an increase in the complexity of orchestrating the entire data flow. Flyte is a project that was started at Lyft to address their internal needs for machine learning and integrated closely with Kubernetes as the execution manager. In this episode Ketan Umare and Haytham Abuelfutuh share the story of the Flyte project and how their work at Union is focused on supporting and scaling the code and communi

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The Complete Collection of Data Science Books – Part 2

KDnuggets

Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

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Length of Stay in Hospital: How to Predict the Duration of Inpatient Treatment

AltexSoft

How many days will a particular person spend in a hospital? Healthcare facilities and insurance companies would give a lot to know the answer for each new admission. Today, we can employ AI technologies to predict the date of discharge. This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations.

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Who is Ready for Climate Disclosures?

Cloudera

I recently attended the CeFPro environmental, social, and corporate governance (ESG) conference in London along with a variety of risk experts and ESG leaders from large global institutions. If you have followed my prior blog posts , you know that I have a keen interest in the topic of climate risk modeling and how it can help assess the economic impacts of climate change.

Banking 91
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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A Survey of Causal Inference Applications at Netflix

Netflix Tech

At Netflix, we want to entertain the world through creating engaging content and helping members discover the titles they will love. Key to that is understanding causal effects that connect changes we make in the product to indicators of member joy. To measure causal effects we rely heavily on AB testing , but we also leverage quasi-experimentation in cases where AB testing is limited.

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The Definitive Guide To Switching Your Career Into Data Science

KDnuggets

Colossal amounts of data need to be dealt with by specialists. It’s no wonder then that the job prospects in this industry are expected to rise much faster than in other occupations.

More Trending

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Tailored Support Designed for You

Cloudera

? ?. At Cloudera we’re building the world’s only hybrid data platform that’s founded on open source and truly hybrid. What do we mean by truly hybrid? Well, not only does it seamlessly support on-premises and cloud-based deployments alike, but uniquely, it is cloud vendor agnostic, allowing multi-cloud strategies to thrive. . Cloudera continues to innovate at pace, providing new and exciting features across Cloudera Data Platform (CDP) that many of our customers can’t wait to get their hands on.

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Available Only Till Stocks Last. Employable Only Till Skills Are Relevant

U-Next

Time is the only changing constant and with time, everything changes. Emotions, people and markets. Every now and then in our lives, there comes a time of disruption. Where routines are rattled and we are introduced to new things. . While this often sounds exciting, what these sudden changes put an end to are existing conventions and practices. . We are living at one such time. .

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Machine Learning Is Not Like Your Brain Part Two: Perceptrons vs Neurons

KDnuggets

An ML system requiring thousands of tagged samples is fundamentally different from the mind of a child, which can learn from just a few experiences of untagged data.

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Top 5 TIMESAVING PowerBI Shortcuts

FreshBI

Reject track-pads; embrace keyboard heritage It’s not a complicated blog post, we want to bring your our top 5 keyboard shortcuts in PowerBI. #1 Select all occurrences of the current selection in the DAX editor If you’ve ever found yourself needing to do a find replace in a DAX Measure, this is a God-Send. By Highlighting a word, we can select all instances of that work and overwrite or modify it.

BI 52
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Office Hours Recap: Optimize Cost and Query Latency With SQL Transformations and Real-Time Rollups

Rockset

Visit our Rockset Community to review previous Office Hours or to see what's coming up. During our Office Hours a few weeks ago, Tyler and I went over what are SQL transformations and real-time rollups, how to apply them, and how they affect your query performance and index storage size. Below, we’ll cover some of the highlights. SQL transformations and real-time rollups occur at ingestion time before the Rockset collection is populated with data.

SQL 52
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Critical Decisions for Critical Parts in Automotive Supply Chains

Teradata

As automotive manufacturers pivot to recover their supply chains and build resilience against the background of perpetual disruption there is a class of parts which stands out. Read more.

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Predicting Cryptocurrency Prices Using Regression Models

KDnuggets

In this article, we explore how to get started with the prediction of cryptocurrency prices using multiple linear regression. The factors investigated include predictions on various time intervals as well as the use of various features in the models such as opening price, high price, low price and volume.

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Introducing the Next Class of Data Reliability Pioneers

Monte Carlo

They range from SMBs (small/medium businesses) to the Fortune 50. They span industries such as aviation; food and beverage; financial services; media; security; human resource management, and more. What they all have in common is a dedication to providing the highest quality data to their internal and external customers. Last year, we were thrilled to renew 100 percent of our customers , a testament to the enthusiasm and excitement around the data observability category – and our mission o

Media 52
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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Engineering Manager Tiffany Jianto on Career Growth and Taking Ownership at Confluent

Confluent

Why Tiffany Jianto chose to join Confluent over other tech giants, how she supports her team as an Engineering Manager, and what they’re doing to encourage more women in tech.

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A star (generator) is born

dbt Developer Hub

We’ve likely been here: Table A has 56 columns and we want to select all but one of them ( column_56 ). So here we go, let’s get started… select column_1 , column_2 , column_3 , please_save_me… from {{ ref ( 'table_a' ) }} At this point, you realize your will to continue typing out the next 52 columns has essentially dwindled down to nothing and you’re probably questioning the life choices that led you here.

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3 Reasons Why Teamwork is an Essential Skill in Data Science

KDnuggets

This article will discuss 3 important reasons why teamwork is so crucial in real-world data science projects.

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DataKitchen Named a Representative Vendor in the 2022 Gartner® Data and Analytics Essentials: #DataOps Report

DataKitchen

"The goal of DataOps is to enable predictable delivery and change management of data and all data-related artifacts such as data pipelines, data models and semantics". The post DataKitchen Named a Representative Vendor in the 2022 Gartner® Data and Analytics Essentials: #DataOps Report first appeared on DataKitchen.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Automating Redaction Compliance to Improve Workflow Efficiency in Foreclosure & Bankruptcy Cases

Elder Research

The post Automating Redaction Compliance to Improve Workflow Efficiency in Foreclosure & Bankruptcy Cases appeared first on Elder Research.

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Monte Carlo’s Series D and the Future of Data Observability

Monte Carlo

Four years ago, I was leading a data team at Gainsight, a customer success company, responsible for generating the analytics that powered our executive dashboards. I was regularly getting questions and pings from downstream consumers like “This data is wrong.” It was a painful experience, but unfortunately, it wasn’t unique. As it turns out, I wasn’t the only one who felt this pain.

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Top Jobs and Salaries in Data Science in 2022

KDnuggets

If you are looking to get into the field, you are probably looking for something that you are interested in, but also know that you have a nicely compensated salary. Read more here.

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5 minutes to configure Pipeline Log in Apache Hop

know.bi

Pipeline Log

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Unlocking The Value Of Data Across The Organization Through User Friendly Data Tools With Prophecy

Data Engineering Podcast

Summary The interfaces and design cues that a tool offers can have a massive impact on who is able to use it and the tasks that they are able to perform. With an eye to making data workflows more accessible to everyone in an organization Raj Bains and his team at Prophecy designed a powerful and extensible low-code platform that lets technical and non-technical users scale data flows without forcing everyone into the same layers of abstraction.

Scala 100
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Monte Carlo Raises $135M Series D to Accelerate the Rapid Growth of the Data Observability Category

Monte Carlo

Today, I’m excited to announce that Monte Carlo, the data reliability company, has raised $135M in Series D funding from IVP, with participation from Accel, GGV Capital, Redpoint Ventures, ICONIQ Growth, Salesforce Ventures, and GIC Singapore. With this round, we’ve raised a total of $236M in a 20-month period, most recently announcing their Series C in August 2021 and a suite of new product functionalities to help data teams achieve more reliable data.

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Understanding Agent Environment in AI

KDnuggets

The role of the agent is always very important in artificial intelligence, machine learning, and deep learning. Learn more about agents here.

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Tackling the complexity of joining snapshots

dbt Developer Hub

Let’s set the scene. You are an analytics engineer at your company. You have several relational datasets flowing through your warehouse, and, of course, you can easily access and transform these tables through dbt. You’ve joined together the tables appropriately and have near-real time reporting on the relationships for each entity_id as it currently exists.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Descriptive Statistics Key Terms, Explained

KDnuggets

This is a collection of 15 basic descriptive statistics key terms, explained in easy to understand language, along with an example and some Python code for computing simple descriptive statistics.

Python 110
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7 Unique Skills That Set Data Scientists Apart From Other Professions

KDnuggets

To be a data scientist, and especially to be a good one, you need these seven skills to do your job and stand out. These seven skills also transfer really well to other professions.

Data 110
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Data Science, Statistics and Machine Learning Dictionary

KDnuggets

Check out this curated list of the most used data science terminology and get a leg up on your learning.

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Pydon’ts – Write elegant Python code: Free Book Review

KDnuggets

The book consists of 200 actionable Python insights with a detailed explanation of how to write elegant, compelling, and expressive code.

Python 113
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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.